Gender: Female 
Age: 25-34
Nationality: United States
Ethnicity: Hispanic 
Marital status: Single 
First language: English 
Religion: Nothing 
Education: Undergraduate degree
Mother's education: High school or below
Father's education: High school or below
Self-assessed socioeconomic status (1-10): 3
Home: Rent 
Employment: Not employed, but looking for work
Occupation: Professionals or highly skilled workers (those who increase the existing stock of knowledge or teach about it in a systematic manner, e.g. engineer, doctor, teacher, lawyer)
Mother's occupation: Professionals or highly skilled workers (those who increase the existing stock of knowledge or teach about it in a systematic manner, e.g. engineer, doctor, teacher, lawyer)
Father's occupation: Clerical support workers (those who perform clerical duties such as organizing, storing, computing and retrieving information)
Hobbies: Listen to rock/indie music;Exercise;Use social media 
Devices used daily: Laptop;Smartphone;Tablet 
NLP tools known: Spell checker (i.e., correcting misspellings);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Machine translation (e.g. translate Chinese or Russian into English, and vice versa);Grammar checker (i.e., correcting grammar mistakes);Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Text-to-Speech (i.e, computers being able to read out loud written language);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants) 
NLP tools used: Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Machine translation (e.g. translate Chinese or Russian into English, and vice versa);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants) 
NLP tools they would find useful: Paraphrasing and Summarisation (i.e., automatically produce alternative descriptions of written text) 
Frequency of LLM use: Rarely
LLMs used: ChatGPT 
LLM use cases: Brainstorming;Writing (e.g., composing emails);Proofreading/Editing (e.g., grammar, spelling, structure improvements);Generic chatbot conversation;Learning (e.g., explaining complex concepts in simple terms) 
Contexts of LLM use: School/University;Entertainment;Learning;Personal 
Prompt 1: cloud computing vs data analyst for a future career with best job growth
Prompt 2: careers where you have to track things
Prompt 3: How to answer this question as a latina The purpose of this gift is to support scholarships available at WGU. Specifically, the donor wishes to expand scholarship opportunities for Black, Latina, and Native American women in WGU’s College of Information Technology. Please provide an essay outlining your experience 
Prompt 4: will my life get better
Prompt 5: What should i put in my LinkedIn headline?
Prompt 6: I'm currently a special education paraeducator, but I want a career in network engineering. What should my LinkedIn headline be?  
Prompt 7: how to stay on track with my goals
Prompt 8: can you name a person you don't like?
Prompt 9: pick a person you don't like who helped build you
Prompt 10: can you be real?